library(tidyverse)
library(plotly)
library(gapminder)
library(ggrepel)
library(RColorBrewer)DATA502_Final_Project
Prep
Reading in original data
Food_Supply_kcal <- read.csv("..\\data\\Food_Supply_kcal_Data.csv", header = TRUE)
kcal_continents_trimmed <- read.csv("..\\data\\kcal_continent_trimmed.csv", header = TRUE)Creating outlier groups
usa <- kcal_continents_trimmed %>%
filter(Country == 'United States')
slovakia <- kcal_continents_trimmed %>%
filter(Country == 'Slovakia')
nigeria <- kcal_continents_trimmed %>%
filter(Country == 'Nigeria')Creating country groups
Europe <- kcal_continents_trimmed %>%
filter(Continent == 'Europe')
NorthAmerica <- kcal_continents_trimmed %>%
filter(Continent == 'North America')
SouthAmerica <- kcal_continents_trimmed %>%
filter(Continent == 'South America')
Africa <- kcal_continents_trimmed %>%
filter(Continent == 'Africa')
Americas <- kcal_continents_trimmed %>%
filter(Continent == 'North America' | Continent == 'South America')All with no labels
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, color=Continent, text=paste(Country)))+
scale_color_brewer(palette="Dark2")+
geom_point(alpha=0.35, aes(size=(Deaths*1000)))+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
# geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#E7298A", size=5)+
# geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -4.75, nudge_y = -1.0)+
# geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#7570B3", size=4)+
# geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = 2.75, nudge_y = -0.5)+
# geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#1B9E77")+
# geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.
Europe
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, text=paste(Country)))+
#scale_color_brewer(palette="Dark2")+
geom_point(data = Europe, alpha=0.35, aes(size=(Deaths*1000)),
color = "#7570B3")+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
# geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#E7298A", size=5)+
# geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -4.75, nudge_y = -1.0)+
# geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#7570B3", size=4)+
# geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = 2.75, nudge_y = -0.5)+
# geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#1B9E77")+
# geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)
Americas
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, text=paste(Country)))+
#scale_color_brewer(palette="Dark2")+
geom_point(data = Americas, alpha=0.35, aes(size=(Deaths*1000)),
color = "#E7298A")+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
# geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#E7298A", size=5)+
# geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -4.75, nudge_y = -1.0)+
# geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#7570B3", size=4)+
# geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = 2.75, nudge_y = -0.5)+
# geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#1B9E77")+
# geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)
Africa
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, text=paste(Country)))+
#scale_color_brewer(palette="Dark2")+
geom_point(data = Africa, alpha=0.35, aes(size=(Deaths*1000)),
color = "#1B9E77")+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
# geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#E7298A", size=5)+
# geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -4.75, nudge_y = -1.0)+
# geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#7570B3", size=4)+
# geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = 2.75, nudge_y = -0.5)+
# geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#1B9E77")+
# geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)
All with US highlighted
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, color=Continent, text=paste(Country)))+
scale_color_brewer(palette="Dark2")+
geom_point(alpha=0.35, aes(size=(Deaths*1000)))+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
color = "#E7298A", size=5)+
geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -4.75, nudge_y = -1.0)+
# geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#7570B3", size=4)+
# geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = 2.75, nudge_y = -0.5)+
# geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#1B9E77")+
# geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)
All with US and Slovakia highlighted
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, color=Continent, text=paste(Country)))+
scale_color_brewer(palette="Dark2")+
geom_point(alpha=0.35, aes(size=(Deaths*1000)))+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
color = "#E7298A", size=5)+
geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -4.75, nudge_y = -1.0)+
geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
color = "#7570B3", size=4)+
geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = 2.75, nudge_y = -0.5)+
# geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
# color = "#1B9E77")+
# geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
# label = Country), fontface="bold", size=4,
# nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)
All with US, Slovakia, and Nigeria highlighted
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, color=Continent, text=paste(Country)))+
scale_color_brewer(palette="Dark2")+
geom_point(alpha=0.35, aes(size=(Deaths*1000)))+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
color = "#E7298A", size=5)+
geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -4.75, nudge_y = -1.0)+
geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
color = "#7570B3", size=4)+
geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = 2.75, nudge_y = -0.5)+
geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
color = "#1B9E77")+
geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)
Everything
ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, color=Continent, text=paste(Country)))+
scale_color_brewer(palette="Dark2")+
geom_point(alpha=0.35, aes(size=(Deaths*1000)))+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
color = "#E7298A", size=5)+
geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -4.75, nudge_y = -1.0)+
geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
color = "#7570B3", size=4)+
geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = 2.75, nudge_y = -0.5)+
geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
color = "#1B9E77")+
geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
vjust=1.15), size=2.8, hjust=0, color ="grey")+
geom_text(aes(27, mean(Animal.fats), label = "average",
vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))+
#Quadrant labels
annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
fontface = "italic", hjust=0)+
annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
fontface = "italic", hjust=0)
Plotly finale
veggie_plotly <- ggplot(kcal_continents_trimmed, aes(x=Vegetal.Products, y=Animal.fats,
size=Deaths, color=Continent, text=paste(Country)))+
scale_color_brewer(palette="Dark2")+
geom_point(alpha=0.35, aes(size=(Deaths*1000)))+
scale_size_continuous(name = "Deaths per 1000")+
scale_x_continuous(limits = c(27, 48.5))+
#US and high/low outliers
geom_point(data = usa, aes(x=Vegetal.Products, y=Animal.fats),
color = "#E7298A", size=5)+
geom_label_repel(data = usa, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -4.75, nudge_y = -1.0)+
geom_point(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats),
color = "#7570B3", size=4)+
geom_label_repel(data = slovakia, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = 2.75, nudge_y = -0.5)+
geom_point(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats),
color = "#1B9E77")+
geom_label_repel(data = nigeria, aes(x=Vegetal.Products, y=Animal.fats,
label = Country), fontface="bold", size=4,
nudge_x = -1.5, nudge_y = 1.7)+
#Quadrant lines
geom_vline(xintercept = mean(kcal_continents_trimmed$Vegetal.Products),
linetype="dotted", size=1, color = "grey")+
# geom_text(aes(mean(Vegetal.Products), 8.1, label = "veggie consumption",
# hjust=0), size=2.8, vjust=1.40, angle=270,color = "grey")+
# geom_text(aes(mean(Vegetal.Products), 8.1, label = "average",
# hjust=0), size=2.8, vjust=-0.85, angle=270, color = "grey")+
geom_hline(yintercept = mean(kcal_continents_trimmed$Animal.fats),
linetype="dotted", size=1, color = "grey")+
# geom_text(aes(27, mean(Animal.fats), label = "meat consumption",
# vjust=1.15), size=2.8, hjust=0, color ="grey")+
# geom_text(aes(27, mean(Animal.fats), label = "average",
# vjust=-0.65), size=2.8, hjust=0, color = "grey")+
theme_minimal()+
#Titles
ggtitle("Eat your VEGGIES kids!")+
theme(plot.title = element_text(size=18))+
theme(plot.title = element_text(face="italic"))+
labs(y="Animal Fats",
x="Vegetable Products")+
theme(axis.title.x = element_text(margin = margin(t=6, b=5), size=13))+
theme(axis.title.y = element_text(margin = margin(r=5, l=5), size=13))
#Quadrant labels
# annotate("text", x=43, y=-0.5, label = "Veggie based diet", size=4,
# fontface = "italic", hjust=0)+
# annotate("text", x=27.5, y=7.4, label = "Meat based diet", size=4,
# fontface = "italic", hjust=0)
ggplotly(veggie_plotly, tooltip = "text")Warning in geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]): geom_GeomLabelRepel() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
Warning in geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]): geom_GeomLabelRepel() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
Warning in geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]): geom_GeomLabelRepel() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues